Empowering enterprises to operate at the speed of insight!
Toronto, Ontario
AI systems for how organizations actually operate. Our intelligent solutions power real-time decisions across the enterprises and institutions that modern economies depend on. At ShyftLabs, we build platforms designed for trusted enterprise deployment, with governed data infrastructure, privacy-first architecture, secure integrations, and responsible AI controls at the core. With experts across Toronto, New York, Dubai, and New Delhi, we turn vision into actual impact.
Hybrid · Toronto
Lead the architecture, design, and delivery of enterprise-scale data platforms while partnering with Fortune 500 clients to define technical strategy. You will mentor engineering teams, establish best practices, and ensure high-quality production deployment of scalable data products.
Hybrid · Toronto
Design, build, and operate cloud infrastructure and CI/CD pipelines while ensuring system reliability and performance. Lead the technical direction for DevOps, mentor engineers, and collaborate with developers to streamline production deployments.
Hybrid · Toronto
Build and improve agent orchestration, multi-agent workflows, and production-ready AI applications using the Continuum platform. Develop tool-calling functionality, retrieval pipelines, and evaluation systems to ensure AI safety and performance.
Hybrid · Toronto
Own the end-to-end lifecycle and strategy for a portfolio of analytical data products to drive business value for clients. Collaborate with engineering and architecture teams to deliver scalable solutions while serving as the primary point of contact for stakeholders.
Hybrid · Toronto
Lead the end-to-end delivery of complex cybersecurity and technology programs while managing timelines, risks, and stakeholder communications. Drive Agile delivery by facilitating ceremonies and managing backlogs to align technical requirements with business objectives.
Hybrid · Toronto
The role focuses on automating and optimizing cloud infrastructure to accelerate application deployment, testing, and release. Responsibilities include monitoring performance, managing scalability, and partnering with developers to ensure high availability across environments.
Hybrid · Toronto
Design, develop, and debug full-stack software applications while collaborating with senior developers to maintain architectural standards. The role involves working with LLM-based technologies and participating in agile development cycles to create innovative user experiences.
Hybrid · Toronto
The role involves owning and growing a portfolio of strategic accounts while also prospecting and closing new business opportunities. The candidate will serve as a trusted advisor to clients and lead the full enterprise sales cycle.
On-site · Toronto
The Senior HR Manager will oversee all HR and People Operations initiatives, including talent acquisition, compliance, and performance management for a global workforce. They will partner with executive leadership to develop people strategies and foster a high-performance company culture.
Hybrid · Toronto
The role involves building and integrating AI-powered features and LLM APIs into backend applications and workflows. You will develop scalable backend services, maintain APIs, and collaborate with cross-functional teams to translate business requirements into technical solutions.
Hybrid · Toronto
Design and deliver end-to-end cloud and data solutions for Fortune 500 clients while managing technical delivery, scoping, and resource planning. The role involves a mix of high-level architecture, hands-on coding, and coordinating globally distributed engineering teams.
Hybrid · Toronto
Architect and implement end-to-end AI-powered features, including model integration, prompt engineering, and deployment into production systems. Collaborate with cross-functional teams to build scalable backend infrastructure, APIs, and MLOps workflows that support intelligent automation.
Hybrid · Toronto
The Account Manager will oversee strategic client relationships, ensuring day-to-day success and responsiveness to client needs. They will coordinate across internal delivery and technical teams to manage workstreams, monitor account health, and identify opportunities for growth.
Hybrid · Toronto
The Data Engineer will design, implement, and optimize big data pipelines in Databricks, developing scalable ETL workflows to process large datasets. They will collaborate with cross-functional teams to enable advanced AI/ML workflows and ensure data integrity and quality in all pipelines.
On-site · Toronto
The role involves managing end-to-end contract processes, financial operations, and internal software stacks to ensure operational efficiency. Additionally, the manager will oversee government grant applications and maintain security and compliance protocols across global teams.
Hybrid · Toronto
The Sales Engineer will own the technical narrative in enterprise deals by translating ambiguous client challenges into structured solution architectures and building rapid prototypes to validate feasibility. This role focuses on integrating AI into existing workflows to showcase decision systems and automation layers that drive measurable business impact.
Hybrid · Toronto
The role involves designing and developing scalable, service-based architectures, remaining hands-on in coding, and architecting system integrations across internal services and third-party platforms using various protocols. Responsibilities also include contributing to AI-enabled features, defining API contracts, and enforcing best practices in code quality and testing.
On-site · Toronto
This role involves leading day-to-day administrative operations, coordinating talent acquisition activities like onboarding, and supporting the CEO with operational initiatives to drive company growth. Key duties include overseeing core administrative functions, managing corporate governance, and handling contract lifecycles.
Remote · Canada
The Data Engineer will design, build, and maintain scalable ETL/ELT data pipelines using GCP services, architecting robust data infrastructure and developing central data warehouses in Google BigQuery. Responsibilities also include leading client communication to translate business needs into scalable technical data solutions and ensuring data integrity through quality checks and governance.
Hybrid · Toronto
The Technical Lead will be responsible for architecting and delivering distributed backend systems capable of handling billions of monthly events, while also building scalable data ingestion and processing frameworks. This role involves guiding the engineering team, defining best practices, and driving cloud infrastructure design on AWS and GCP.
